A Study on Autonomous Intersection Management: Planning-Based Strategy Improved by Convolutional Neural Network

The development and application of autonomous vehicles bring great changes to urban traffic management and control. As one of the bottlenecks to improve transportation efficiency, intersection management plays an important role in the urban city. When the dynamic control method in different cases is...

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Veröffentlicht in:	KSCE Journal of Civil Engineering Jg. 25; H. 10; S. 3995 - 4004
Hauptverfasser:	Zhang, Jian, Jiang, Xia, Liu, Ziyi, Zheng, Liang, Ran, Bin
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Seoul Korean Society of Civil Engineers 01.10.2021 Springer Nature B.V 대한토목학회
Schlagworte:	Algorithms Artificial neural networks Civil Engineering Computation Computer simulation Control methods Dynamic control Engineering Geotechnical Engineering & Applied Earth Sciences Industrial Pollution Prevention Neural networks Strategy Time optimal control Traffic control Traffic intersections Traffic management Transportation Engineering Vehicle emissions Vehicles 토목공학 Planning based strategy Connected and automated vehicles Autonomous intersection Convolutional neural network
ISSN:	1226-7988, 1976-3808
Online-Zugang:	Volltext
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